Business analytics, big data, and the cloud

transcript

Business Analytics, Big Data, and The Cloud Sogeti-Ovum BI & IM Symposium Bussum, The Netherlands

Paul Rodwick Vice President, Product Management, Oracle 24 November 2014

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

What Big Data trends affect

analytics?

How quickly is Cloud Computing

affecting analytics?

With so much change, where can

we start?

Key Questions

Big Data Disruption

Digitization × Datafication

Use Data

Executives who feel they understand the impact data

will have on their organizations

Produce Data

There is Progress to be Made

Source: Retail CIO Download 2014 Agenda: Leadership and Agility, 2014, “Global Insights on Succeeding in the Customer Experience Era” survey of 1300 senior level execs in North America, Europe, Asia Pacific and Latin America , 2013.

Of CIOs say turning massive amounts of data into usable

business analytics is their greatest concern

46% 37%

Are just getting started with formal big data projects

20% Consider their big data

initiative to be “advanced”

*Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey **Source: GigaOM Research and VC North Bridge

Cloud Adoption Is On Fire!

Cloud is Mainstream

• Using Cloud today or will be in Two Years

Cloud Growth is Exploding

• Cloud computing growing faster than traditional IT investment

Top Cloud Benefits: Agility and TCO

89% Greater Business Agility

Better Use of Resources

87% Rapid implementation of Business Models

87% Lower Capital Expense

81% Fewer Operational Issues

Source: Computerworld Strategic Marketing Services, February-March 2014 Cloud Survey

Cloud BI is at a Tipping Point

46% of organizations will have considered a cloud BI deployment by 2015

30% of organizations have considered a cloud BI deployment over the last 5 years

Cloud is creating a tipping point

• IT Relevancy • Shadow BI projects • IT leaders leverage cloud

Speed over consistency

Visual data discovery

Embedded analytics

Business user demands are changing

• Big Data • Cloud • Changing User Demands

IT is in a time of transition Lead, or Follow

Some fundamentals remain constant

• Value from combining multiple data sources

• Consistent, transparent metrics improve accountability

• Information integrity through governance

The race is on

STRATEGY FIND YOUR BIG DATA KILLER APP

ARCHITECTURE MAKE BIG DATA BUSINESS AS USUAL

Big Data requires a Big Data architecture

“By 2015, organizations that build a modern information management system will outperform their peers financially by 20 percent.”

– Mark Beyer, Gartner

Enterprise Big Data Strategy

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

BIG DATA INTEGRATION

CREATE VALUE FROM DATA

Streaming + Batch

Data Reservoir + Data Warehouse

Discovery + Business Analytics

Mobile + Web + On-device

Simplify access to all data

Surprise: Technologies behind Big Data

0% 10% 20% 30% 40% 50% 60%

Hadoop

What technologies is your organization using or planning to use to derive value from big data?

Nick Heudecker and Lisa Kart, Gartner, Survey Analysis: Big Data Investment Grows but Deployments Remain Scarce in 2014, 9 September 2014.

“There are a lot of commonly held beliefs about big data that need to be

challenged, with the first being that you simply adopt Hadoop and are

good to go. The problem is that Hadoop is a technology, and big data

isn't about technology. Big data is about business needs. In reality, big

data should include Hadoop and relational [databases] and any other

technology that is suitable for the task at hand.”

– Ken Rudin, Head of Analytics, Facebook

Build a Data Reservoir

Oracle Innovation: Big Data SQL

How Important Is Security for Big Data?

Just as important as for my other enterprise

Very Important Not much of an issue Haven’t even thought about it

Discover and predict, fast

Top-cited Challenges with Big Data Projects

1. Determining how to get value

2. Governance

3. Integrating multiple sources

4. Obtaining skills

Top-cited Challenges with Big Data Projects

1. Determining how to get value

2. Governance

3. Integrating multiple sources

4. Obtaining skills

Requires a Fundamentally New Approach

An intuitive and visual user interface

for anyone to quickly find, explore, transform and analyze data in Hadoop

then share results for enterprise leverage

Explore

Transform Analyze

Data Warehouse

Business Intelligence

Advanced Analytics

Other Hadoop Tools

Oracle Big Data Discovery. The Visual Interface for Hadoop

Explore

Transform Analyze

Actionable Events

Data Reservoir

Data Factory Data Warehouse

BI and Reporting

Discovery Lab

Actionable Information

Actionable Insights

Data Streams

Execution

Innovation

Discovery Output

Events & Data

Next Generation Data Management Architecture

Enterprise Data

Web & Social Data

Event Engine

Personalized banking based on big data, analytics

Location-based services, advanced analytics finds patterns and correlations

Better customer knowledge = better customer service

“…CaixaBank has partnered with Oracle to develop a new technology platform that can help improve the business and enable the bank to anticipate the needs of customers with a 360 view of the customer1”

Juan Maria Nin

CEO CaixaBank

1Mentioned in a business review with financial analysts in London, 26 March 2014

How To Get Started

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

1. Transform the business

How To Get Started

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

2. Lay the foundation

How To Get Started

2. Lay the foundation

3. Pilot BIG DATA

ANALYTICS BIG DATA

APPLICATIONS

BIG DATA MANAGEMENT

Deploy as a Service in the Cloud

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

Data Enrichment Integration

Database Hadoop

Analytics Big Data Discovery

Horizontal and Industry applications

Bigger Smarter

Easier

Cheaper Better

Faster VALUE IN ANY FORM

Thank You!

paul.rodwick@oracle.com @paulrodwick www.linkedin.com/pub/paul-rodwick

Business analytics, big data, and the cloud

Data & Analytics